No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by alisadiq-ai · MCP Server · ★ 22
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is favstash-ai-video-editing-skills safe to install? View the security audit →
Create Instagram Reels, TikToks and YouTube Shorts with adaptive AI editing, captions and motion graphics. Connect FavStash for planning, publishing and analytics.
| Stars | 22 |
| Forks | 0 |
| Language | JavaScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 67.282246151768/100 |
| Last Updated | 2026-10-13 |
| Created | 2026-09-10 |
| Platforms | claude-code, codex, mcp, node |
| Est. Tokens | ~16k |
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favstash-ai-video-editing-skills is Create Instagram Reels, TikToks and YouTube Shorts with adaptive AI editing, captions and motion graphics. Connect FavStash for planning, publishing and analytics.. It is categorized as a MCP Server with 22 GitHub stars.
favstash-ai-video-editing-skills is primarily written in JavaScript. It covers topics such as agent-skills, ai-video-editing, captions.
You can find installation instructions and usage details in the favstash-ai-video-editing-skills GitHub repository at github.com/alisadiq-ai/favstash-ai-video-editing-skills. The project has 22 stars and 0 forks, indicating an active community.
favstash-ai-video-editing-skills is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to favstash-ai-video-editing-skills on Agent Skills Hub include Motion-graphics-skill, ghost-editor, social-media-caption-generator-claude. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: